We conduct experiments on Cholec80 dataset [1]} which contains 80 videos of cholecystectomy surgeries manually labeled with smoke/non-smoke image sequence by [2]} http://www.itec.aau.at/ftp/datasets/Smoke_cholec80. The dataset in overall contains approximately 100K annotated images, in particular between 200-1300 images of smoke/non-smoke in each video. In our experiments, we use a subset of the dataset with three videos for training and nine videos for testing. The videos are randomly chosen. We extract JPEG images, and resize them to a resolution of \(427\times 240\) px from the original resolution of \(854\times 480\) px, to fasten the image enhancement. In particular, we use 4,381 images obtained from video{1, 31, 34} for training, and 10,653 images obtained from video{2, 22, 10, 40, 59, 64, 65, 71, 80} for testing. In Figure REF , we show some examples of smoke/non-smoke images obtained from Cholec80 dataset. Also, note that each video represents a unique person in this dataset.
